Design of a Deep Learning-Based Hybrid Image Caption Generation Method

T Sravanthi; Mr B Javeed Basha

Design of a Deep Learning-Based Hybrid Image Caption Generation Method

Author(s)	T Sravanthi, Mr B Javeed Basha
Country	India
Abstract	In this observe, we behavior an in-intensity analysis of a deep neural network-based totally picture captioning method. Given an input photo, the method can generate an English sentence that describes the content of the picture. We observe the 3 major components of this approach: sentence technology, recurrent neural networks (RNNs), and convolutional neural networks (CNNs). We find that with the aid of changing the three modern structures with the CNN factor, the VGG Net network performs better in terms of BLEU score. As a brand new recurrent layer, we additionally advise a simplified version of gated recurrent gadgets (GRU) that may be carried out in Caffe using both MATLAB and C++. Compared to the long short-term memory (LSTM) technique, the simplified GRU produces similar results. However, it has fewer parameters, which reduces reminiscence usage and speeds up studying. Finally, we use beam search to generate multiple propositions. Experiments show that the up to date approach uses much less memory for schooling and produces up-to-date signatures with modern technology.
Keywords	Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN), Gated Recurrent Gadgets (GRU), Long Short-Term Memory (LSTM)
Field	Engineering
Published In	Volume 6, Issue 4, April 2025
Published On	2025-04-14
Cite This	Design of a Deep Learning-Based Hybrid Image Caption Generation Method - T Sravanthi, Mr B Javeed Basha - IJLRP Volume 6, Issue 4, April 2025.

View / Download PDF File

About IJLRP Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijlrp.com

International Journal of Leading Research Publication

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Design of a Deep Learning-Based Hybrid Image Caption Generation Method

Share this